Now showing items 11089-11108 of 20221

    • Low-power microcontroller core 

      Eriksen, Stein Ove (Master thesis, 2009)
      Energy efficiency in embedded processors is of major importance in order to achieve longer operating time for battery operated devices. In this thesis the energy efficiency of a microcontroller based on the open source ZPU ...
    • Low-Power Neuromorphic Sound Source Localization 

      Moulin, Kaspar Sigurd (Master thesis, 2021)
      I denne hovedoppgaven presenterer vi et neuromorft system for lydkildelokalisering basert på Jeffress sin lokaliseringsmodell. Systemet bruker nevral spike-koding og asynkrone delay-linjer for a beregne krysskorrelasjonen ...
    • Low-resource speech recognition - Exploring methods of improving performance 

      Moum, August Høyen; Winnerdal, Skjalg (Master thesis, 2020)
      Å lage et nøyaktig talegjenkjenningssystem som generaliserer tilstrekkelig er ingen lett oppgave. Begrensede mengder med transkribert taledata kompliserer dette ytterligere, ettersom systemene krever store mengder treningsdata ...
    • Low-resource speech recognition - Exploring methods of improving performance 

      Moum, August Høyen; Winnerdal, Skjalg (Master thesis, 2020)
      Å lage et nøyaktig talegjenkjenningssystem som generaliserer tilstrekkelig er ingen lett oppgave. Begrensede mengder med transkribert taledata kompliserer dette ytterligere, ettersom systemene krever store mengder treningsdata ...
    • Lower survival probability of house sparrows severely infected by the gapeworm parasite 

      Holand, Håkon; Jensen, Henrik; Tufto, Jarle; Soliman, Mustafa M.; Pärn, Henrik; Sæther, Bernt-Erik; Ringsby, Thor Harald (Journal article; Peer reviewed, 2014)
      The effect of parasites in natural populations has received increasing attention in recent years. Studies have shown that parasites may play an important part in population ecology due to their potential effects on host ...
    • Lowering delay of reactive congestion control in SDN 

      Tveit, Simon Oliver (Master thesis, 2021)
      Denne avhandlingen har som formål å redusere effekten overbelastning i nettverk har på høyprioritetstrafikk i systemer som bruker reaktiv overbelastningskontroll i Software Defined Networking (SDN). Bruken av prioritetskøer ...
    • Loyalty - Fordelskort i en digital verden 

      Andersson, William; Larsson, Øivind Haugerøy; Midttun, Jonathan; Østtveit, Bjørnar (Bachelor thesis, 2020)
      Denne bacheloroppgaven går ut på å utvikle et produkt for en oppdragsgiver, RealNett AS. Produktet, ved navn Loyalty/LoyaltyCard, bidrar til digitaliseringen av fordelsprogrammer, og gruppen har derfor valgt å undersøke ...
    • LPV model reference control for fixed-wing UAVs 

      Rotondo, Damiano; Cristofaro, Andrea; Gryte, Kristoffer; Johansen, Tor Arne (Journal article; Peer reviewed, 2017)
      This paper proposes a linear parameter varying (LPV) model reference-based control for fixed-wing unmanned aerial vehicles (UAVs), which achieves agile and high performance tracking objectives in extended flight envelopes, ...
    • LPWAN connectivity and embedded solutions for smart ocean monitoring buoys 

      Jølsgard, Eivind Holen (Master thesis, 2021)
      Denne oppgaven fortsetter arbeidet med Internet of Fish (IoF) prosjektet ved NTNU, med mål om å realisere overvåkning og posisjonering av fisk i nær sanntid. Dette gir verdifull innsikt i fiskeatferd og bevegelsesmønstre. ...
    • LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution 

      Bouzidi, Mohammed; Amro, Ahmed Walid; Dalveren, Yaser; Alaya Cheikh, Faouzi; Derawi, Mohammad (Peer reviewed; Journal article, 2023)
      Low-power wide area network (LPWAN) technologies such as IQRF are becoming increasingly popular for a variety of Internet of Things (IoT) applications, including smart cities, industrial control, and home automation. ...
    • LS-CAT: A Large-Scale CUDA AutoTuning Dataset 

      Lars, Bjertnes; Tørring, Jacob; Elster, Anne C. (Peer reviewed; Journal article, 2021)
      The effectiveness of Machine Learning (ML) methods depend on access to large suitable datasets. In this article, we present how we build the LS-CAT (Large-Scale CUDA AutoTuning) dataset sourced from GitHub for the purpose ...
    • LSPR and Interferometric Sensor Modalities Combined Using a Double-Clad Optical Fiber 

      Muri, Harald Ian; Bano, Andon; Hjelme, Dag Roar (Journal article; Peer reviewed, 2018)
      We report on characterization of an optical fiber-based multi-parameter sensor concept combining localized surface plasmon resonance (LSPR) signal and interferometric sensing using a double-clad optical fiber. The sensor ...
    • LSPR Coupling and Distribution of Interparticle Distances between Nanoparticles in Hydrogel on Optical Fiber End Face 

      Muri, Harald Ian; Hjelme, Dag Roar (Journal article; Peer reviewed, 2017)
      We report on a new localized surface plasmon resonance (LSPR)-based optical fiber (OF) architecture with a potential in sensor applications. The LSPR-OF system is fabricated by immobilizing gold nanoparticles (GNPs) in a ...
    • LSTM Hybrid Model for Water Reservoir Inflow Forecasting, a Comparison Between Black Box- and Interpretable Hybrid Models 

      Osberg, Magnus Myrmo (Master thesis, 2020)
      Norges innsjøer oppnådde over 31GW innstallert vannkraftskapasitet, og produserte over 144 TWh ren kraft i 2016 i følge International Hydropower Association. Denne avhandlignen vurderer 9 hybridmodeller for prediksjon av ...
    • LTap; A Portable Protocol for Measuring Sensorimotor Synchronization 

      Åstveit, Lars Bårdgard (Master thesis, 2013)
      The aim of the study has been to design, develop and validate a reliable, portable, and user friendly protocol to measure sensorimotor synchronization (SMS). SMS is used to indicate learning disabilities and diseases like ...
    • LTE in high capacity locations: - A case study of Lerkendal Stadium 

      Flobak, Einar (Master thesis, 2018)
      As the demand for mobile data is expected to keep on growing, the mobile network needs constant development. So, how should Telenor Norway build and invest in the mobile network in order to handle high capacity events in ...
    • Lungs and Lobes Semantic Segmentation in Mediastinal CT Scans Using 3D Convolutional Neural Networks 

      Kristin Schive Hjelde (Master thesis, 2020)
      Pulmonal CT-bildeanalyse er en viktig del av vurderingen og behandlingsplanleggingen av forskjellige lungesykdommer. Metoden krever ofte at lungene skilles fra de omkringliggende strukturene, en prosess kjent som ...
    • Lyapunov estimation for high-speed demodulation in multifrequency atomic force microscopy 

      Harcombe, David M.; Ruppert, Michael G.; Ragazzon, Michael Remo Palmén; Fleming, Andrew J. (Journal article; Peer reviewed, 2018)
      An important issue in the emerging field of multifrequency atomic force microscopy (MF-AFM) is the accurate and fast demodulation of the cantilever-tip deflection signal. As this signal consists of multiple frequency ...
    • Lyapunov Estimator for High-Speed Demodulation in Dynamic Mode Atomic Force Microscopy 

      Ragazzon, Michael Remo Palmén; Ruppert, Michael G.; Harcombe, David M.; Fleming, Andrew J.; Gravdahl, Jan Tommy (Journal article; Peer reviewed, 2017)
      In dynamic mode atomic force microscopy (AFM), the imaging bandwidth is governed by the slowest component in the open-loop chain consisting of the vertical actuator, cantilever, and demodulator. While the common demodulation ...
    • Lyapunov Sufficient Conditions for Uniform Semiglobal Exponential Stability 

      Pettersen, Kristin Ytterstad (Journal article; Peer reviewed, 2017)
      This paper derives Lyapunov sufficient conditions for uniform semiglobal exponential stability (USGES) of parameterized nonlinear time-varying systems. It furthermore investigates the robustness properties that USGES may ...